Daniel Kifer

Professor of Computer Science & Engineering

Daniel Kifer

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Learning Convolutional Neural Networks Travel Time Semantics Soil Moisture Neurons Big Data Moisture Trajectories Pixels Deep Learning Opinion Neural Networks Coding Crime Deep Neural Networks Science Baseline Prolongation Image Compression Landslide Hydrology Brain Trajectory Availability

Most Recent Publications

Prabhav Borate, Jacques Rivière, Chris Marone, Ankur Mali, Daniel Kifer, Parisa Shokouhi, 2023, Nature Communications

Chaopeng Shen, Alison P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. Harman, Martyn Clark, Matthew Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Yalan Song, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Binayak Mohanty, Tirthankar Roy, Chonggang Xu, Kathryn Lawson, 2023, Nature Reviews Earth and Environment on p. 552-567

Alexander G. Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles, 2023, on p. 9327-9335

Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer, 2023, Proceedings of the VLDB Endowment on p. 1883-1896

Alexander Ororbia, Daniel Kifer, 2022, Nature Communications

Zeyu Ding, Yuxin Wang, Wang Yuxin, Yingtai Xiao, Guanhong Wang, Danfeng Zhang, D Kifer, Daniel Kifer, 2022, VLDB Journal on p. 23-48

John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, Pavel Zhuravlev, 2022, Harvard Data Science Review

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

Alexander G. Ororbia, C. Lee Giles, Ankur Mali, Daniel Kifer, 2022,

S. Nagendra, Daniel Kifer, S. Manjunatha, Benjamin Mirus, Kathryn Lawson, D Kifer, T. Pei, Daniel Kifer, W. Li, Kathryn Lawson, Te Pei, Srikanth Banagere Manjunatha, Benjamin Mirus, K. Lawson, H. Nguyen, Weixin Li Li, Hien Nguyen, Tong Qiu, S. Tran, T Qiu, Chaopeng Shen, C Shen, Sarah Tran, Chaopeng Shen, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing on p. 4349-4370

Ankur Mali, Alexander Ororbia, II, Alexander Ororbia, Daniel Kifer, Clyde Giles, 2022, CoRR on p. 471

Most-Cited Papers

Pufferfish: A framework for mathematical privacy definitions

Daniel Kifer, Ashwin Machanavajjhala, 2014, ACM Transactions on Database Systems

Kuai Fang, Chaopeng Shen, Daniel Kifer, Xiao Yang, 2017, Geophysical Research Letters on p. 11,030-11,039

Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi John Chang, Sangram Ganguly, Kuo Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, Wen Ping Tsai, 2018, Hydrology and Earth System Sciences on p. 5639-5656

Learning to extract semantic structure from documents using multimodal fully convolutional neural networks

Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, Clyde Giles, 2017, on p. 4342–4351

Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li, 2016, on p. 635-644

Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles, 2017, on p. 3280-3286

Hongjian Wang, Xianfeng Tang, Yu Hsuan Kuo, Daniel Kifer, Zhenhui Li, 2019, ACM Transactions on Intelligent Systems and Technology

Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection

Dafang He, Scott Cohen, Brian Price, Daniel Kifer, C. Lee Giles, 2017, on p. 254-261

Anand Gopalakrishnan, Ankur Mali, Dan Kifer, Lee Giles, Alexander G. Ororbia, 2019, on p. 12108-12117